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Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece

Data was collected using standard communication equipment and invoices provided by an established civil construction and renewable energy development and operation company. Data referring to the construction, costings, operation and environmental impacts of a photovoltaic farm were recorded into fou...

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Detalles Bibliográficos
Autores principales: Tsinarakis, George, Kouloumpis, Victor, Pavlidou, Anastasia, Arampatzis, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294036/
https://www.ncbi.nlm.nih.gov/pubmed/37383769
http://dx.doi.org/10.1016/j.dib.2023.109260
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author Tsinarakis, George
Kouloumpis, Victor
Pavlidou, Anastasia
Arampatzis, George
author_facet Tsinarakis, George
Kouloumpis, Victor
Pavlidou, Anastasia
Arampatzis, George
author_sort Tsinarakis, George
collection PubMed
description Data was collected using standard communication equipment and invoices provided by an established civil construction and renewable energy development and operation company. Data referring to the construction, costings, operation and environmental impacts of a photovoltaic farm were recorded into four distinct Excel files namely: i) Project Management Data, ii) Life Cycle Inventory (LCI), iii) Electricity Generation Data and iv) Operational Cost Data. For the project management, the given quantities of the resources used in each activity could be further combined with the costs from different geographical and time regions to estimate overall project implementation costs for similar projects. The LCI data for the materials and transportation used can set the basis for life cycle assessment modelling of ground-mounted photovoltaic farms of that size and type. The electricity generation data along with meteorological parameters and location coordinates can be further enhanced to predict and manage energy generation and cashflow of expectations installations of this type and size over time. Finally, the data referring to a number of cost categories(‘maintenance costs’, ‘operational costs’, ‘insurance costs’ and ‘any other costs’), especially combined with the previously mentioned types of data could support a holistic technoeconomic and environmental assessment of comparable commercial photovoltaic installations. In addition, these data can be used for a comparative multi-disciplinary evaluation between photovoltaics and among various renewable electricity generation alternatives and traditional fossil fuel-based options as well.
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spelling pubmed-102940362023-06-28 Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece Tsinarakis, George Kouloumpis, Victor Pavlidou, Anastasia Arampatzis, George Data Brief Data Article Data was collected using standard communication equipment and invoices provided by an established civil construction and renewable energy development and operation company. Data referring to the construction, costings, operation and environmental impacts of a photovoltaic farm were recorded into four distinct Excel files namely: i) Project Management Data, ii) Life Cycle Inventory (LCI), iii) Electricity Generation Data and iv) Operational Cost Data. For the project management, the given quantities of the resources used in each activity could be further combined with the costs from different geographical and time regions to estimate overall project implementation costs for similar projects. The LCI data for the materials and transportation used can set the basis for life cycle assessment modelling of ground-mounted photovoltaic farms of that size and type. The electricity generation data along with meteorological parameters and location coordinates can be further enhanced to predict and manage energy generation and cashflow of expectations installations of this type and size over time. Finally, the data referring to a number of cost categories(‘maintenance costs’, ‘operational costs’, ‘insurance costs’ and ‘any other costs’), especially combined with the previously mentioned types of data could support a holistic technoeconomic and environmental assessment of comparable commercial photovoltaic installations. In addition, these data can be used for a comparative multi-disciplinary evaluation between photovoltaics and among various renewable electricity generation alternatives and traditional fossil fuel-based options as well. Elsevier 2023-05-29 /pmc/articles/PMC10294036/ /pubmed/37383769 http://dx.doi.org/10.1016/j.dib.2023.109260 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Tsinarakis, George
Kouloumpis, Victor
Pavlidou, Anastasia
Arampatzis, George
Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title_full Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title_fullStr Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title_full_unstemmed Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title_short Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece
title_sort data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in greece
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294036/
https://www.ncbi.nlm.nih.gov/pubmed/37383769
http://dx.doi.org/10.1016/j.dib.2023.109260
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